AI-200 Containerized AI Workloads Practice Question
You are managing an AKS cluster running resource-intensive AI training jobs. You want to ensure that nodes automatically scale up and down based on pending pod resource requests. Which component should you enable and configure?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Kubernetes Cluster Autoscaler
The Kubernetes Cluster Autoscaler monitors for unschedulable pods and requests additional nodes from Azure Virtual Machine Scale Sets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
KEDA (Kubernetes Event-driven Autoscaling)
Why it's wrong here
KEDA scales pods based on event sources like queues, not cluster node infrastructure.
- ✗
Azure Load Balancer
Why it's wrong here
Azure Load Balancer routes network traffic, it does not manage compute node provisioning.
- ✗
Horizontal Pod Autoscaler
Why it's wrong here
Horizontal Pod Autoscaler scales the number of pod replicas, not the underlying physical or virtual cluster nodes.
- ✓
Kubernetes Cluster Autoscaler
Why this is correct
Cluster Autoscaler automatically adjusts the number of nodes in your AKS cluster based on resource demands.
About these practice questions
This AI-200 question is part of Courseiva's 503-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-200 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-200 exam.